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Machine Learning and Deep Learning in Computational Toxicology - Computational Methods in Engineering & the Sciences 2023 edition
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Machine Learning and Deep Learning in Computational Toxicology - Computational Methods in Engineering & the Sciences
One of the major features is the case studies of applications of machine learning and deep learning in toxicological research that serve as examples for readers to learn how to apply machine learning and deep learning techniques in predictive toxicology.
635 pages, 100 Tables, color; 124 Illustrations, color; 25 Illustrations, black and white; XIX, 635
| Medien | Bücher Gebundenes Buch (Buch mit hartem Rücken und steifem Einband) |
| Erscheinungsdatum | 8. Februar 2023 |
| ISBN13 | 9783031207297 |
| Verlag | Springer International Publishing AG |
| Seitenanzahl | 635 |
| Maße | 150 × 220 × 20 mm · 1,29 kg |
| Sprache | Deutsch |
| Redakteur | Hong, Huixiao |
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